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  • AWSAvailable on Amazon Web Services
  • Azure· soonComing soon on Microsoft Azure
  • GCP· nextGoogle Cloud is next on the roadmap
Available

Hugging Face NLP Stack

A Jupyter workbench with Hugging Face Transformers 5.17, PyTorch 2.14 and the supporting libraries pre-installed, plus three models cached so your first pipeline() call downloads nothing. Sentiment, NER and embeddings run offline out of the box, and a getting-started notebook opens by default. CPU build with no GPU driver - pick compute-optimised instances for heavier inference.

Version
Transformers 5.17.0 / PyTorch 2.14.0
Operating system
Ubuntu 24.04 LTS
Architecture
x86_64
Support
Email support

What's installed

Every package and version on the image, identical on every cloud it ships on. Nothing else is installed.

  • Transformers 5.17.0
  • PyTorch 2.14.0 (CPU)
  • JupyterLab 4.6.3
  • sentence-transformers 6.0.1
  • Datasets 5.0.1
  • scikit-learn 1.9.1
  • pandas 3.0.5
  • Gradio 6.27.0
  • spaCy 3.8.16
  • Python 3.12.3

LicensingOpen source (Apache-2.0 libraries), no licence key required

Deploy anywhere

Hugging Face NLP Stack on AWS and Azure.

Google Cloud is next on the roadmap. One clean-room build, one first-boot credential model, one patch cadence — identical on every cloud you run. Every identifier below is the real one; copy it and launch.

  1. AWS
    Available

    Amazon Web Services

    AMI · Transformers 5.17.0 / PyTorch 2.14.0

    AWS AMI ID

    Shown for your region on the AWS Marketplace launch page once you subscribe.

    Released
    Root volume
    gp3 · 30 GiB
    Instance types
    • t3a.xlarge
    • t3.xlarge
    • m6a.xlarge
    • c7a.xlarge
    Regions34 regions· show all
    • us-east-1
    • af-south-1
    • ap-east-1
    • ap-east-2
    • ap-northeast-1
    • ap-northeast-2
    • ap-northeast-3
    • ap-south-1
    • ap-south-2
    • ap-southeast-1
    • ap-southeast-2
    • ap-southeast-3
    • ap-southeast-4
    • ap-southeast-5
    • ap-southeast-6
    • ap-southeast-7
    • ca-central-1
    • ca-west-1
    • eu-central-1
    • eu-central-2
    • eu-north-1
    • eu-south-1
    • eu-south-2
    • eu-west-1
    • eu-west-2
    • eu-west-3
    • il-central-1
    • me-central-1
    • me-south-1
    • mx-central-1
    • sa-east-1
    • us-east-2
    • us-west-1
    • us-west-2
    Launch on AWS MarketplaceAWS launch steps

    5-day free trial, then from $0.05/hr software charge (larger instance sizes cost more) plus your own EC2 costs, billed by AWS.

    Subscriptions are open to AWS India (AISPL) accounts. Outside India? Ask us for a private build.

  2. Azure
    Coming soon

    Microsoft Azure

    Compute Gallery image · Transformers 5.22.1 / PyTorch 2.15.0 (CPU)

    Azure Compute Gallery image ID
    …/galleries/provencloud_marketplace/images/huggingface/versions/2026.11.1
    Released
    OS disk
    Premium_LRS · 30 GiB
    Gallery
    provencloud_marketplace
    Definition
    huggingface
    Resource group
    provencloud-marketplace-rg
    VM sizes
    • Standard_D4as_v7
    • Standard_D4as_v5
    • Standard_D8as_v7
    Regions50 regions· show all
    • eastus
    • australiacentral
    • australiaeast
    • australiasoutheast
    • austriaeast
    • belgiumcentral
    • brazilsouth
    • canadacentral
    • canadaeast
    • centralindia
    • centralus
    • chilecentral
    • denmarkeast
    • eastasia
    • eastus2
    • francecentral
    • germanywestcentral
    • indiasouthcentral
    • indonesiacentral
    • israelcentral
    • italynorth
    • japaneast
    • japanwest
    • jioindiawest
    • koreacentral
    • koreasouth
    • malaysiawest
    • mexicocentral
    • newzealandnorth
    • northcentralus
    • northeurope
    • norwayeast
    • polandcentral
    • qatarcentral
    • southafricanorth
    • southcentralus
    • southeastasia
    • southindia
    • spaincentral
    • swedencentral
    • switzerlandnorth
    • uaenorth
    • uksouth
    • ukwest
    • westcentralus
    • westeurope
    • westindia
    • westus
    • westus2
    • westus3
    Azure launch steps
AWS

Getting started on Amazon Web Services

From launch to signed in, step by step.

  1. Subscribe on AWS Marketplace and launch in your region with TCP 22 and 8080 open. The notebook server is usually ready in about a minute; allow up to five.

  2. Open http://<instance-public-ip>:8080 and sign in with your EC2 Instance ID as the password - there is no username (for example i-0123456789abcdef0). JupyterLab is at /lab.

  3. 00-getting-started.ipynb opens by default: sentiment classification, named-entity recognition, semantic similarity, then bringing your own model and authenticating for gated repositories.

  4. The stack lives in /opt/provencloud/venv; HF_HOME=/opt/provencloud/hf-cache is pre-populated. Any other Hub model downloads on first use.

  5. SSH as ubuntu with your key pair. Change the notebook password with sudo bash /home/ubuntu/iscripts/pass_jupyter.sh; hf_status.sh lists versions, endpoints and cached models.

  6. This is a CPU image: torch.cuda.is_available() is False even on a GPU instance. Use t3a.large and up, or c7a/c7i for heavier inference.

Security posture

What this AWS image does and does not ship with, one fact per line.

  • Clean-room build on Canonical's official Ubuntu 24.04 LTS image: every component comes from its own official repository or release, nothing is copied from any third-party image, and the finished image was scanned for third-party vendor strings before capture.

  • No usable credential ships in the image; passwords are set on your instance at first boot from EC2 instance metadata (IMDSv2) and the scripts that set them delete themselves afterwards.

  • SSH is key-only, root login over SSH is refused, and build-time SSH keys, shell history and logs were removed before imaging.

  • Jupyter authenticates with a password only; URL tokens are disabled so nothing has to be copied out of a console log, and unauthenticated API calls return 403.

  • The image contains no password at all: a systemd unit ordered before Jupyter hashes this instance's ID into the server config on first boot, and a marker file ensures a password you set later is never overwritten by a reboot.

  • Hugging Face Hub telemetry is disabled in both the service and the shell profile, so the instance does not report usage.

  • SSH host keys are regenerated per instance.

  • The bundled password tools enforce at least 10 characters with upper- and lower-case letters, a number and a symbol, and verify the new credential with a real sign-in before reporting success.

  • The image is HTTP-only by design so it works at a bare IP with no certificate warnings: terminate TLS at a load balancer or add a certificate before exposing it publicly, and restrict port 22 and any admin ports to trusted IP ranges in your security group.

Azure

Getting started on Microsoft Azure

From launch to signed in, step by step.

  1. Create the VM from the Azure Marketplace listing with TCP 22 and 8080 open in your network security group. Choose ubuntu as the administrator username so SSH and the script paths match, and wait a few minutes for first boot to finish.

  2. Open http://<vm-public-ip>:8080/ and type the password: your VM ID (Azure portal > the virtual machine > Properties > VM ID, for example 02aab8a4-74ef-476e-8182-f6d2ba4166a6). Start with 00-getting-started.ipynb. Change the password with sudo bash ~/iscripts/pass_jupyter.sh. Choose a VM with at least 4 vCPUs and 16 GB of memory. This build uses the CPU; it does not need a GPU.

  3. For production, limit admin ports to your own IP address.

Security posture

What this Azure image does and does not ship with, one fact per line.

  • Clean-room build on Canonical's official Ubuntu 24.04 LTS image from the Azure Marketplace: every component comes from its own official source and no third-party image was launched or copied.

  • No two VMs share a login: first boot sets every password and secret key from the new VM's own vmId (read from Azure IMDS) or from fresh random values, and creates new SSH host keys.

  • The ubuntu login account ships password-locked with an empty authorized_keys, and Azure installs your own SSH key at deploy time.

  • Shell history, logs and cloud-init state are cleared before capture, and the image carries every Ubuntu 24.04 LTS security update with nothing pending.

  • Each gallery version is deployed as a Trusted Launch VM and checked against Microsoft's documented Linux certification test cases, the product's own end-to-end login tests and a stop/start cycle before it is published.

  • Restrict port 22 and the admin consoles to trusted IP ranges, and put public web consoles behind HTTPS with your own certificate.